Explore the reinforcement learning algorithm that achieves performance comparable to GRPO in RLVR with minimal complexity. Learn how it works, why it’s effective, and its practical applications in RL ...

Abstract: The purpose of this paper is to explore how to construct a multi-criteria decision-making model using greedy algorithm and genetic algorithm to optimize the decision-making problem in the ...

I recently read a book to my 4½-year-old daughter that I immediately took out of her room and decided never to read again. That children’s book reminded me of an assignment I once had at the ...

His snake eyes were bigger than his stomach. Florida might have a new ally in the ongoing fight against the invasive Burmese python scourge — chilly weather. Researchers who track the elusive and ...

This GitHub repository contains the code, data, and figures for the paper FedRAIN-Lite: Federated Reinforcement Algorithms for Improving Idealised Numerical Weather and Climate Models. Also includes ...

Abstract: The Vehicle Routing Problem (VRP) is one of the most common problems in logistics and supply chain. In this study, we propose a hybrid greedy algorithm for the capacitated vehicle routing ...